188 results about "Observation method" patented technology

The invention relates to the technical field of electric power facility safety monitoring, in particular to a substation equipment foundation settlement observation system and method, and the system comprises an infrared monitoring array and a data processing terminal; the method comprises the following steps: acquiring and correcting real-time three-dimensional point cloud data of the basic surface of the equipment; obtaining an effective settling volume; environment parameters or equipment vibration signals are monitored in real time, the collection frequency of the infrared monitoring array is automatically adjusted according to the monitoring result, and an early warning signal is sent out when the effective settling volume exceeds a preset threshold value; through software and hardware cooperation, the problems that in the prior art, a monitoring blind area is large, the anti-interference capacity is weak, and a linkage mechanism is lacked are solved, an intelligent settlement observation solution is provided for a substation equipment foundation, and safe and stable operation of a power grid is effectively guaranteed.

The invention relates to the technical field of satellite navigation and ionosphere detection, in particular to a low-latitude ionosphere disturbance and non-uniform body multi-means collaborative detection and classification method. A multi-network cooperation-multi-source fusion observation mode is adopted, full space-time coverage of low-latitude ionosphere disturbance is achieved, in addition, a data fusion method based on physical constraints is applied, an ionosphere-middle atmosphere-troposphere multi-physics field coupling constraint mechanism is constructed, space-time consistency of data obtained through different observation means is optimized, and the low-latitude ionosphere disturbance is obtained. And finally, key characteristic parameters are extracted by using a multi-scale signal processing method, a disturbance characteristic matrix is constructed in combination with radar observation data (such as drift speed and spectral width), a'three-axis nine-element 'disturbance / non-uniform body classification standard is proposed firstly, then deep learning classification is used, accurate classification of low-latitude ionosphere disturbance is realized, and GNSS signal anomaly recognition capability is improved.

The application relates to the technical field of meteorological detection, in particular to a tornado cooperative observation method based on a detection device. The method comprises the following steps: performing real-time monitoring on regional micro-pressure and meteorological echoes of a suspicious target area through a micro-pressure gauge and an S-band new-generation weather radar, and performing strong convective occurrence matching prediction to obtain a strong convective occurrence prediction target area; performing solar radio calibration processing on corresponding radar detection equipment and triggering a tornado detection strategy cooperative instruction to perform strong convective target three-dimensional cooperative observation and target strong correlation area fusion division, so as to generate a strong convective target and strong correlation area radar field; performing strong convective feature analysis on the strong convective target and strong correlation area radar field, so as to generate a tornado and strong convective feature data set; acquiring a preset tornado feature library and performing tornado recognition analysis, so as to generate a tornado occurrence prone grid area. The application can improve the monitoring accuracy and real-time performance of the tornado detection process.

The invention discloses a secondary path online modeling and real-time ANC system observation method without additional white noise, and the method comprises the following steps: monitoring the stability of an ANC system through a real-time observer, and preventing divergence caused by the change of a secondary path or an overlarge step length; a secondary path online modeling method is designed, secondary path online precise modeling without adding white noise is realized by combining an offline modeling initial value and online self-adaptive updating, and residual noise rise and human ear discomfort caused by introduction of the white noise in a traditional online modeling method are avoided; secondary path coupling is eliminated by using a loudspeaker time-sharing sounding strategy, and the modeling calculation amount is reduced; and an intelligent ANC system is constructed, a secondary path model is dynamically updated, the step length is adaptively adjusted, and stable operation of the system is ensured. According to the invention, the stability and the noise reduction performance of the ANC system are improved, and the calculation complexity and the human ear interference risk are reduced at the same time.

The application discloses a kind of based on GNSS's dam vertical displacement monitoring reference network automation observation method.It includes the following steps, step one: point site reconnaissance, instrument and observation pier selection;Step two: GNSS data preprocessing and scheme optimization;In GNSS vertical displacement automation monitoring, determine the optimal observation period, repair frequent small cycle jump;Step three: baseline solution and network adjustment method;In GNSS vertical displacement automation monitoring, troposphere delay correction, thermal expansion effect correction these models are applied to baseline solution, introduce prior height difference information in network adjustment, improve the accuracy and reliability of baseline solution.The application has the advantages of improving the vertical direction of GNSS baseline solution precision.The application also discloses a kind of based on GNSS's dam vertical displacement monitoring reference network automation observation platform.

The invention discloses a spatial distributed observation method based on irregular region geometric feature sampling, and belongs to the technical field of aerospace. The implementation method comprises the following steps: establishing a coordinate system for describing the motion of the spacecraft; establishing a spacecraft dynamic model under the coordinate system; six initial orbit elements of a satellite can be obtained based on existing low-orbit constellation orbit data, the spatial position is calculated through the orbit elements, and then position components are converted into latitude and longitude coordinates, namely sub-satellite point coordinates; defining vertex coordinates of the polygon, and constructing a planar polygon by connecting the vertex coordinates end to end; discretizing the internal region of the closed polygon; on the basis of the kinetic model, on the basis of the coordinates of the sub-satellite point and the center coordinates of the discrete sampling circle, calculating the characteristic distance from the sampling point in the observation area to the sub-satellite point, and on the basis of the size relationship between the characteristic distance and the radius of the observation view field, judging whether the irregular area can be successfully observed in a preset time constraint interval; therefore, spatial distributed observation is realized.

The invention discloses a buoy type wave observation method and device based on a GNSS and an accelerometer, and relates to the technical field of marine environment monitoring, and the method comprises the steps: collecting positioning data and inertial motion data, constructing a reference acceleration through the positioning data, carrying out the dynamic real-time zero offset compensation of the acceleration, correcting the attitude of a buoy according to the angular velocity information, and carrying out the real-time zero offset compensation of the acceleration. Wave motion parameters are calculated by using a multi-order spectral moment, a horizontal velocity component is extracted, the main wave direction of waves is estimated through a maximum entropy spectrum method, and the main wave direction and the wave motion parameters are jointly packaged and transmitted through a dual-mode communication link. Through multi-source synchronous acquisition, GNSS dynamic zero offset compensation, attitude correction, wave direction calculation and parameter inversion, the problem of low accuracy and reliability of observation data caused by long-term drifting of the wave observation buoy is cooperatively solved, and meanwhile, the maintenance difficulty and cost of the wave buoy are reduced. A core algorithm is realized through an edge processing architecture, so that the cost of a single buoy is greatly reduced, and possibility is provided for large-scale high-density networking.

The application discloses a car with a friction gap of safety clamps convenient to observe, which comprises a car body and a bracket frame arranged at the end of the car body, the bracket frame is movably matched with a guide rail, a safety clamp assembly is connected to the outer side of the bracket frame, a friction gap is left between the guide rail and the safety clamp assembly, the friction gap is a brake distance reserved between the safety clamp assembly and the guide rail, and the car further comprises an observation part, the line of sight of a human eye can pass through the observation part to observe the state of the friction gap in the inner side area of the bracket frame. The car with the friction gap of safety clamps convenient to observe can avoid the limitation of the guide rail on the observation angle during the observation process, can make the observation angle directly face the friction gap, and thus the observation precision and the observation efficiency are improved.

To provide a novel technique of observing change of a water surface different from a wave.SOLUTION: The observation program causes a computer to execute processing of: acquiring data of a radar image formed by periodically observing a sea area as an observation target by a radar device using electric waves of 0.01 m-2 m lengths; calculating an average image formed by averaging the radar image shown by the acquired data at every specific average time in order of the observation times; and outputting information based on the calculated average image.SELECTED DRAWING: Figure 6

The embodiment of the invention provides a motor speed observation method and device, electronic equipment and a storage medium, and the method comprises the steps: firstly, obtaining an electrical angle of a motor; then, gain processing is carried out based on the electrical angle, the observer proportional gain parameter and the observer integral gain parameter, and a proportional integral output value is obtained; next, feed-forward processing is carried out based on the electrical angle and a feed-forward gain parameter, a feed-forward output value is obtained, and the feed-forward gain parameter, an observer proportional gain parameter and an observer integral gain parameter are all generated based on the speed ring bandwidth of the speed ring; and finally, performing superposition processing based on the proportional integral output value and the feedforward output value to obtain a speed observation result of the motor, thereby greatly improving the observation real-time performance and accuracy of motor speed observation.

The application discloses a kind of observation method and device of droplet evolution characteristics under the dynamic constraint of fiber bundle.The rotating plate is hinged to the object table at one end, and the other end is fixed with a syringe propulsion mechanism through a lifting mechanism support and a lifting mechanism.The output end of the electric control elevator is hinged to the bottom of the rotating plate.Both the rotating plate and the lifting mechanism support are fixed with positive and negative tooth guide rail sliding table modules.Two L-shaped plates connected by one of the positive and negative tooth guide rail sliding table modules are both fixed with U-shaped plates.Two L-shaped plates connected by the other positive and negative tooth guide rail sliding table module are both fixed with T-shaped plates.The application can accurately, conveniently and multi-conditionally match the wetting performance detection of droplets on different state fiber bundles to complete the wetting research and experiment of super-hydrophobic materials such as carbon fiber.The application can observe the dynamic spreading evolution characteristics of magnetic nanodroplets on two carbon fiber bundles from the overhead angle and horizontal direction by using a miniature camera and a video camera.

The invention discloses an observation method and system for a navigation city greenhouse gas source and application, belongs to the field of environment monitoring, and is used for solving the technical problem that at present, effective and targeted monitoring on the city greenhouse gas source is lacked, and the method comprises the steps that an observation route for monitoring the greenhouse gas source in a navigation city is planned; constructing a navigation city greenhouse gas source distribution prediction model and training, carrying out current navigation monitoring to obtain current navigation monitoring data, and calculating by using the navigation city greenhouse gas source distribution prediction model to obtain next city greenhouse gas source prediction distribution; performing targeted underway monitoring planning and monitoring; according to the method, the observation route is planned, multiple times of underway monitoring are carried out according to the time sequence, accurate underway monitoring data are obtained, the data are fully mined, the prediction model is constructed and trained, the model is used for calculation, the next prediction distribution is obtained, the model is used for guiding subsequent targeted underway monitoring, and the monitoring efficiency and effect of the urban greenhouse gas source are improved.

The utility model relates to the technical field of glass tube production, in particular to an observation device for defect detection of a glass tube, and aims to solve the technical problems of inaccurate defect judgment and difficulty in observation and recording by a single person due to angle difference caused by manual operation in related technologies. The observation device comprises an observation box, a lighting mechanism and a glass tube bearing mechanism. The glass tube bearing mechanism is installed on the observation box and used for bearing a glass tube, and the glass tube is inserted into the observation box. The illumination mechanism is installed on the observation box and used for providing illumination for the glass tube. According to the observation device, the glass tube bearing mechanism and the lighting mechanism which are fixedly installed replace original hand holding and lighting, so that the observation angle and the lighting angle are standardized, and judgment errors caused by angle deviation which varies from person to person in the observation process are avoided. The technical problems that according to an existing glass tube defect observation method, due to angle difference caused by manual operation, defect judgment is not accurate, and observation and recording are not easy to conduct by a single person are solved.

The application discloses an improved flux linkage observer position sensor observation method and system, comprising the following steps: constructing a motor model, and estimating a flux linkage vector; performing amplitude normalization processing on the flux linkage vector, and constructing a quadrature error signal; inputting a phase-locked loop, and obtaining a motor angle and a motor estimated rotating speed. The application has high adaptability, is small in system dependence degree, and is convenient to transplant in different systems.

The invention relates to the field of remote sensing satellite observation task planning, in particular to a remote sensing satellite hotspot target observation method and system based on meteorological elements, which are used for carrying out priority division and analysis on tasks according to the conditions of importance degree, emergency degree, observation time window and the like of hotspot targets, determining hotspot target observation tasks, and carrying out real-time observation on the hotspot targets. And obtaining a corresponding geographic information data set. On the basis, simulation calculation of the satellite transit area is carried out in sequence, and a spatio-temporal data set of the hotspot observation target in the satellite transit process is generated. And in combination with CMA-GFS data, carrying out space-time screening on observable targets, determining hotspot targets with clear sky observation conditions, and forming a selected space-time data set. And finally, the whole process operation from satellite observation task planning, platform attitude maneuver and instrument pointing calculation to observation guidance generation and instruction uploading execution, and observation state tracking and effect evaluation is completed, invalid observation caused by cloudy and foggy weather is reduced, and the satellite observation efficiency is improved.

The application discloses a kind of robot joint adaptive super-spiral observation methods based on barrier function, belong to robot joint drive and motor non-inductive control technical field.This method faces the robot joint module using permanent magnet synchronous motor, constructs super-spiral observer, and designs the segmented adaptive gain law based on barrier function, on-line adjustment is carried out to observer parameter, so that position, speed estimation error can quickly converge to preset area in finite time, and disturbance upper limit does not need to be known in advance;Wherein, in the stage of greater error, observation gain is improved to speed up convergence speed, and gain is adaptively reduced after error enters boundary region to suppress chattering, so that rapidity and smoothness are considered.This method can reduce the dependence of robot joint module on position sensor, improve the compactness and reliability of module structure, reduce observation chattering, and improve the position and speed estimation accuracy under the condition of sudden load and parameter perturbation.

The invention discloses a full-irradiation aviation electromagnetic observation method. The method comprises the following steps: S1, scanning survey line topographic data of a target survey area; s2, dynamically controlling postures of a transmitting coil and a receiving coil based on the survey line topographic data in the S1, and collecting electromagnetic data of a target survey area; and S3, processing the electromagnetic data collected in the step S2, and carrying out random cross gradient constraint inversion to obtain geological structure information of the underground target in the target measurement area. The detection effect of an aviation electromagnetic method in a steep fluctuating environment is remarkably improved for mineral resources, engineering geophysical prospecting and hydrogeological prospecting in a complex terrain area through a full-irradiation aviation electromagnetic observation system in a complex fluctuating terrain and an isotropic resistivity cross constraint inversion method. According to the method, the interference of topographic factors on electromagnetic signals is effectively reduced, and the limitation of insufficient signal coverage in complex topographies in a traditional method is overcome, so that the data processing precision is improved, and richer underground information is obtained.

The invention discloses a sea-ground-air-space integrated marine intelligent collaborative three-dimensional networking observation method, which belongs to the technical field of marine environment observation, is used for intelligent collaborative three-dimensional networking observation, and comprises the following steps of: generating an optimal navigation track covering a target area of dynamic characteristics by using a multi-target optimization algorithm; each observation platform executes a measurement task according to the received collaborative observation instruction, and each observation platform carries an embedded processor to analyze the collected temperature, salinity and flow field data characteristics in real time; and the data processing center completes data assimilation and ocean mode simulation by using supercomputing parallel calculation, and generates and outputs high-resolution three-dimensional temperature, salinity and flow field analysis results of dynamic characteristics. The coverage rate and the quality of observation information are obviously improved; the observation precision and efficiency are obviously improved, and optimal configuration and high-precision observation of resources are realized; a finer three-dimensional structure is captured with less navigation mileage, data redundancy and energy consumption are reduced, and observation efficiency is improved.

The present invention is to observe in detail a structure caused by heating or cooling a structure outside a temperature limit of a high-performance camera using an image of the high-performance camera and a change in the structure caused by recovery to normal temperature. An observation device of a structure, characterized by comprising: a camera housing having a rectangular three-dimensional shape, the camera housing having a glass window of heat-resistant and / or cold-resistant glass on at least one face of the three-dimensional shape; a thermally insulating wall covering the camera housing except for the glass window; a fluid supply port and a fluid discharge port circulating a fluid for cooling or heating in at least the camera housing among the camera housing and the inside of the wall; and a camera disposed in the camera housing, the camera capturing a structure outside the camera housing as a still image or a moving image from the glass window, and externally outputting or internally storing data of the captured image.

The present application provides an earth observation system based on a single measuring station, and the working modes of its earth observation payload include: record first and then replay mode, in which the imaging window is earlier than the data transmission window, and the imaging window and the data transmission window do not overlap; replay first and then record mode, in which the data transmission window is earlier than the imaging window, and the data transmission window and the imaging window do not overlap, and the record file and the replay file are not the same file; replay first and then record and play mode, in which the imaging window is located in the data transmission window, and the record file and the replay file are not the same file; replay first and then quasi-real transmission mode: the data transmission window includes two data transmission segments, the first data transmission segment is used to replay historical files, and the second data transmission segment is used for quasi-real transmission, the imaging window does not overlap with the first data transmission segment, and partially overlaps with the second data transmission segment. The present application ensures the flexibility of the user's observation area, the timeliness of data, and the observation efficiency by designing a new payload mode, and effectively improves the earth observation efficiency of a single measuring station.

An observation device (1A) is provided with a light source (11), a mirror (22), a condenser lens (24), an objective lens (25), a beam splitter (41), an imaging unit (43), and an analysis unit (50). An analysis unit (50) applies light to an object (S) to be observed along each of a plurality of light irradiation directions by changing the orientation of a reflection surface of a mirror (22), acquires interference intensity images at a reference position from an imaging unit (43) for each of the plurality of light irradiation directions, and obtains a phase differential image of the object to be observed by performing a necessary process on the basis of the interference intensity images. As a result, it is possible to easily observe an object to be observed by reducing the influence of multiple scattered light even when the object to be observed is a multiple scatterer.

Embodiments of the present disclosure provide a method and system for satellite-ground radar cooperative observation based on sensitive targets, which are applied to the technical field of weather radar. The method comprises the following steps: acquiring satellite, radar and underlying surface data; identifying and processing the radar data to obtain the number, position, area of potential targets and the early warning level corresponding to each potential target, and comprehensively obtaining the satellite-ground joint early warning level; using the underlying surface data, potential targets and the satellite-ground joint early warning level to construct a sensitive target evaluation function and calculate the sensitivity score; and arranging and combining the sensitive targets and radar scanning modes, and performing optimization processing to select the optimal scanning mode. In this way, real-time tracking and dynamic monitoring of strong convective weather can be achieved, guiding multiple weather radars to efficiently carry out cooperative operation and improving the observation timeliness and early warning reliability of high-disaster strong convective weather.

The application is a low carrier ratio based on variable boundary layer adaptive sliding mode observation method. The application relates to the technical field of motor control. The parameter value of the application can change in real time with the rotating speed and the switching frequency, thereby guaranteeing the system stability, dynamic performance and small steady-state error under different working conditions. In addition, since the high-frequency chattering is well inhibited, the use of filters such as LPF is cancelled, thereby reducing the system complexity. Moreover, after the estimated back electromotive force is filtered by avoiding the use of the low-pass filter, the amplitude attenuation and phase delay problems of the motor back electromotive force estimation value are improved, and the accuracy of the rotor position estimation is improved.

The invention relates to the technical field of internal solitary wave observation, in particular to an internal solitary wave intelligent observation system which comprises a priori subsurface buoy, a first anchoring device, a first control module, a first communication module, a storage module, a pressure sensor and a first floating ball. And the observation subsurface buoy comprises a second anchoring device, a second control module, a second communication module, an observation instrument and a second floating ball. The invention also discloses an intelligent observation method for the internal solitary wave, and the method comprises the following steps: S1, when the pressure of the pressure sensor changes, the first control module starts an internal solitary wave judgment program and a timestamp calculation program; s2, the first control module encodes the timestamp, and the timestamp is transmitted to the second communication module by the first communication module; and S3, the second communication module receives the signal and transmits the signal to the second control module, and the second control module controls the observation instrument to be adjusted from the low-frequency observation mode to the high-frequency observation mode. According to the invention, the energy consumption speed is reduced, and the working time is prolonged, so that the laying cost is reduced.

The invention discloses a geological event classification-driven observation method and a geological event classification-driven observation system, which solve the technical problem of lack of dynamic regulation and control based on event classification in the prior art. The method comprises the following steps: collecting continuous seismic waveform data, and detecting and identifying a potential event segment by combining a multi-stage STA / LTA method with CUSUM accumulation and change point analysis; inputting the potential event segment into a pre-trained one-dimensional convolutional neural network model, performing signal identification and classification, and outputting an event category and confidence; fusing temperature and pressure time sequence data, and comprehensively judging an event type by utilizing a rule engine; according to the geological event type driving observation strategy, the sensor sampling frequency, the data transmission mode and the energy consumption configuration are dynamically adjusted. Through an innovative mechanism of geological event classification-driven observation, the limitation of a traditional observation mode on real-time performance and resource efficiency is broken through, differentiated observation response can be realized according to geological event types, the real-time performance, the accuracy and the energy efficiency of an observation system are remarkably improved, and the method is suitable for popularization and application. The method is especially suitable for long-term observation of complex seabed hydrothermal zones such as southwest Indian Ocean ridges.

The present disclosure relates to an observation unit, a traveling wave tube unit, and an observation method. An observation unit includes a housing having a vacuum inside, a base housed in the housing and fixed to the housing, and an observation device housed in the housing and supported by the base, wherein the base includes a first magnet, and the observation device includes a second magnet mounted so as to repel the first magnet and supported in a state of being separated from the base.

The application relates to the field of vehicle dynamics and control technology, in particular to a data intelligent driving adaptive joint observation method and device, a vehicle and a medium, wherein the method comprises the following steps: compensating wheel speed according to yaw rate and rotation angle; calculating a longitudinal reference vehicle speed measurement value according to the compensated wheel speed and longitudinal acceleration; respectively estimating noise covariance of a lateral reference vehicle speed measurement value and a lateral-longitudinal reference vehicle speed measurement value according to a first input feature, a second input feature and a third input feature; determining a joint observation weight of the lateral-longitudinal reference vehicle speed measurement value based on the noise covariance, and performing joint observation on a lateral-longitudinal reference vehicle speed estimation value based on the joint observation weight, so as to obtain a vehicle body side slip angle estimation value. Therefore, the problems that the MBD method and the DDD method in the related art have limitations, the applicability and robustness are poor, the measurement value is inaccurate, the accuracy of the observation result is low, a large amount of data is required, and the application is limited due to the black box feature are solved.

The invention relates to the technical field of screw machining, in particular to a connector screw machining machine tool which comprises a thread machining machine tool body, an equipment box is arranged on the thread machining machine tool body, a tool rest is fixedly connected to the outer wall of the bottom of the equipment box, and a mounting hole is formed in the middle of the outer wall of the bottom of the tool rest. And the interior of the mounting hole is in threaded connection with a cutter body. The ultra-miniature industrial camera is used for carrying out close-range observation on machining between the cutter body and a screw, the problems that an operator has poor real-time performance and limited precision and influences machining consistency and the product yield in a long-distance observation method are avoided, correspondingly, the ultra-miniature industrial camera can always keep a consistent motion state with the cutter body, and the machining precision is improved. According to the screw machining tool, close-range observation and real-time and accurate monitoring are conducted on the machining process between the tool body and a screw, once problems are found, machining parameters can be rapidly adjusted, a large number of unqualified products are prevented from occurring, and therefore the machining quality of the screw is remarkably improved.

The invention provides a discrete observation method and system based on time-point sequence data, and belongs to the technical field of data processing, and the method specifically comprises the steps: when a discrete analysis demand type does not belong to a target demand type, obtaining a discrete analysis result based on the time-point sequence data in a stable period and the observation analysis processing result of the time-point sequence data of other monitoring equipment; determining a discrete coefficient in each stable time period, determining a related data type of time point sequence data in other monitoring equipment based on the stability degree of the discrete coefficient, and determining a deviation condition of the discrete coefficient of the monitoring time point of the related data type in different stable time periods; and carrying out observation analysis processing on time point sequence data of related data types on the basis of deviation conditions, and determining a discrete observation analysis method of time point sequence data of the target data type on the basis of observation analysis processing results of the time point sequence data of the related data types and in combination with discrete analysis demand types. And the reliability of the monitoring data is improved.